Provide an appropriate response. A survey of 300 non-fatal accidents showed that 108 involved uninsured drivers. Construct a 99% confidence interval for the proportion of fatal accidents that involved uninsured drivers. Round to the nearest thousandth. Answer: (L, U) = ( )

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.3: Special Probability Density Functions
Problem 7E
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**Confidence Interval for Proportion of Uninsured Drivers in Non-fatal Accidents**

Provide an appropriate response.

A survey of 300 non-fatal accidents showed that 108 involved uninsured drivers. Construct a 99% confidence interval for the proportion of fatal accidents that involved uninsured drivers. Round to the nearest thousandth.

Answer: (L, U) = ( [Text Box1] , [Text Box2] )

---

解释没有 graphs 或 diagrams,需要帮助客户理解给定信息。
Transcribed Image Text:--- **Confidence Interval for Proportion of Uninsured Drivers in Non-fatal Accidents** Provide an appropriate response. A survey of 300 non-fatal accidents showed that 108 involved uninsured drivers. Construct a 99% confidence interval for the proportion of fatal accidents that involved uninsured drivers. Round to the nearest thousandth. Answer: (L, U) = ( [Text Box1] , [Text Box2] ) --- 解释没有 graphs 或 diagrams,需要帮助客户理解给定信息。
### Constructing a 95% Confidence Interval for Proportion

**Provide an appropriate response.**

When 495 junior college students were surveyed, 145 said they have a passport. 

Construct a 95% confidence interval for the proportion of junior college students that have a passport. Round to the nearest thousandth.

**Answer: (L, U) = ( [________], [________] )**

### Explanation:
To construct a 95% confidence interval for the proportion (\( \hat{p} \)) of junior college students that have a passport, follow these steps:

1. **Calculate the sample proportion** (\( \hat{p} \)):
   \[
   \hat{p} = \frac{145}{495}
   \]

2. **Determine the standard error (SE)**:
   \[
   SE = \sqrt{\frac{\hat{p} (1 - \hat{p})}{n}}
   \]
   where \( n \) is the sample size.

3. **Find the critical value** for a 95% confidence level. The critical value (\( z* \)) can be found using a \( Z \)-distribution table or standard normal distribution, which is 1.96 for a 95% confidence level.

4. **Calculate the margin of error (ME)**:
   \[
   ME = z* \times SE
   \]

5. **Construct the confidence interval (CI)**:
   \[
   CI = \hat{p} \pm ME
   \]

Then, you would insert the numerical values into the answer box to complete the confidence interval.
Transcribed Image Text:### Constructing a 95% Confidence Interval for Proportion **Provide an appropriate response.** When 495 junior college students were surveyed, 145 said they have a passport. Construct a 95% confidence interval for the proportion of junior college students that have a passport. Round to the nearest thousandth. **Answer: (L, U) = ( [________], [________] )** ### Explanation: To construct a 95% confidence interval for the proportion (\( \hat{p} \)) of junior college students that have a passport, follow these steps: 1. **Calculate the sample proportion** (\( \hat{p} \)): \[ \hat{p} = \frac{145}{495} \] 2. **Determine the standard error (SE)**: \[ SE = \sqrt{\frac{\hat{p} (1 - \hat{p})}{n}} \] where \( n \) is the sample size. 3. **Find the critical value** for a 95% confidence level. The critical value (\( z* \)) can be found using a \( Z \)-distribution table or standard normal distribution, which is 1.96 for a 95% confidence level. 4. **Calculate the margin of error (ME)**: \[ ME = z* \times SE \] 5. **Construct the confidence interval (CI)**: \[ CI = \hat{p} \pm ME \] Then, you would insert the numerical values into the answer box to complete the confidence interval.
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